Positive and Negative Arguments in Review Systems: An Approach with Arguments

Simone Gabbriellini*, F Santini

*Corresponding author

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this work we study arguments in Amazon.com reviews. We manually extract positive (in favour of purchase) and negative (against it) arguments from each review concerning a selected product. Moreover, we link arguments to the rating score and length of reviews. For instance, we show that negative arguments are quite sparse during the first steps of such social review-process, while positive arguments are more equally distributed. In addition, we connect arguments through attacks and we compute Dung’s extensions to check whether they capture such evolution through time.
Original languageEnglish
Title of host publicationArgument technologies: Theory, analysis and applications
EditorsF Bex, F Grasso, N Green, F Paglieri, C Reed
Pages117-130
Number of pages14
Publication statusPublished - 2017

Keywords

  • agent-based models
  • abstract argumentation

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